Integration of in silico methods to determine endocrine-disrupting tobacco pollutants binding potency with steroidogenic genes: comprehensive QSAR modeling and ensemble docking strategies

2022

Kumar Konidala, Kranthi | Bommu, Umadevi | Pabbaraju, Neeraja


书目信息
Environmental science and pollution research
29 43 页码 65806 - 65825 ISSN 0944-1344
出版者
Springer Berlin Heidelberg
其它主题
Computer simulation; Steroidogenic acute regulatory protein; Androgen receptors; Steroidogenesis; Reproductive toxicology; Quantitative structure-activity relationships
语言
英语
类型
Text; Journal Article

2024-02-29
MODS